Abstract
Recently, global power demand has significantly increased. As this demand does not have a proportional impact on
transmission capacity and power generation. The latest methods are used to improve power system performance. The Flexible
Alternating Current Transmission System (FACTS) devices are applied to improve the existing transmission network capacity. The
Unified Power Flow Controller (UPFC) has been selected in this study to control power flow in transmission networks and improve the
power system operation. In this paper, the Artificial Neural Network Controller (ANN) proposed to overcome the problems of the
existing UPFC controller and tested using the IEEE-14 bus system with various test cases. The results showed that the proposed ANN
has improved the efficiency of UPFC successfully by increasing the active power flow, reducing reactive power, and improving the
voltage profile. The performance of proposed ANN-based UPFC has also been compared with Proportional Integral (PI) based UPFC
and with Fuzzy Logic Controller (FLC) based UPFC shows its effectiveness. The simulation results have shown that the proposed ANNbased UPFC proved its robustness in improving all power system parameters compared to PI-based UPFC.
Asif Ali Lund, Muhammad Usman Keerio, Mohsin Ali Koondhar , Muhammad Ismail Jamali, Abdul Qadeer Tunio. (2021) Investigation of advanced control for unified power flow controller (UPFC) to improve the performance of power system, Journal of Applied and Emerging Sciences, Volume-11, Issue-1.
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